Cargando…
Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of L...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774522/ https://www.ncbi.nlm.nih.gov/pubmed/31577836 http://dx.doi.org/10.1371/journal.pone.0223369 |
_version_ | 1783456090653982720 |
---|---|
author | Polito, Angelo Combescure, Christophe Levy-Jamet, Yann Rimensberger, Peter |
author_facet | Polito, Angelo Combescure, Christophe Levy-Jamet, Yann Rimensberger, Peter |
author_sort | Polito, Angelo |
collection | PubMed |
description | AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of LSPs in PICU significantly differ among diagnostic and age categories. To determine whether independent associations exist between patients’ characteristics at admission and LSPs diagnosis in pre-specified diagnostic and age groups. METHODS: This was a multicenter retrospective cohort study including all PICUs in Switzerland. Multivariable regression analysis was used to seek for association between patients’ variables at admission and LSPs RESULTS: We included 22,284 patients with a median (IQR) age of 12 (1–84) months. Significantly different thresholds across diagnostic and age subgroups are identified. Readmission to PICU, higher PIM2 and NEMS (a score used to quantify nursing workload at intensive care unit level) at admission were associated with higher likelihood of becoming LSPs. CONCLUSIONS: Our results showed a significantly different definitions of LSPs for specific diagnoses and age categories. Readmission to PICU and higher acuity at admission are associated with longer PICU length-of-stay in the majority of diagnostic groups. A more personalized definition of LSPs in children based on actual patients’ characteristics should probably be used in an effort to optimize care and reduce costs. |
format | Online Article Text |
id | pubmed-6774522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67745222019-10-12 Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors Polito, Angelo Combescure, Christophe Levy-Jamet, Yann Rimensberger, Peter PLoS One Research Article AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of LSPs in PICU significantly differ among diagnostic and age categories. To determine whether independent associations exist between patients’ characteristics at admission and LSPs diagnosis in pre-specified diagnostic and age groups. METHODS: This was a multicenter retrospective cohort study including all PICUs in Switzerland. Multivariable regression analysis was used to seek for association between patients’ variables at admission and LSPs RESULTS: We included 22,284 patients with a median (IQR) age of 12 (1–84) months. Significantly different thresholds across diagnostic and age subgroups are identified. Readmission to PICU, higher PIM2 and NEMS (a score used to quantify nursing workload at intensive care unit level) at admission were associated with higher likelihood of becoming LSPs. CONCLUSIONS: Our results showed a significantly different definitions of LSPs for specific diagnoses and age categories. Readmission to PICU and higher acuity at admission are associated with longer PICU length-of-stay in the majority of diagnostic groups. A more personalized definition of LSPs in children based on actual patients’ characteristics should probably be used in an effort to optimize care and reduce costs. Public Library of Science 2019-10-02 /pmc/articles/PMC6774522/ /pubmed/31577836 http://dx.doi.org/10.1371/journal.pone.0223369 Text en © 2019 Polito et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Polito, Angelo Combescure, Christophe Levy-Jamet, Yann Rimensberger, Peter Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title | Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title_full | Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title_fullStr | Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title_full_unstemmed | Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title_short | Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors |
title_sort | long-stay patients in pediatric intensive care unit: diagnostic-specific definition and predictors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774522/ https://www.ncbi.nlm.nih.gov/pubmed/31577836 http://dx.doi.org/10.1371/journal.pone.0223369 |
work_keys_str_mv | AT politoangelo longstaypatientsinpediatricintensivecareunitdiagnosticspecificdefinitionandpredictors AT combescurechristophe longstaypatientsinpediatricintensivecareunitdiagnosticspecificdefinitionandpredictors AT levyjametyann longstaypatientsinpediatricintensivecareunitdiagnosticspecificdefinitionandpredictors AT rimensbergerpeter longstaypatientsinpediatricintensivecareunitdiagnosticspecificdefinitionandpredictors AT longstaypatientsinpediatricintensivecareunitdiagnosticspecificdefinitionandpredictors |